Standardizing diffusion of a fluid into tissue

ABSTRACT

Disclosed are a system and method for evaluating a tissue sample that has been removed from a subject. Movement of fluid through the tissue sample is monitored by measuring time of flight of acoustic waves passed through the tissue sample. A system for performing the method can include a transmitter that outputs the energy and a receiver configured to detect the transmitted energy. Using the disclosed method and system, an optimized protocol for ensuring adequate distribution of the fluid throughout a variety of tissue types and/or sample sizes can be developed and utilized.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a divisional of U.S. patent application Ser. No.15/672,213 filed on Aug. 8, 2017, which application is a continuation ofInternational Patent Application No. PCT/EP2016/052447, filed Feb. 5,2016, the benefit of which is claimed. Benefit is further claimed toU.S. Provisional Patent Application No. 62/113,787, filed Feb. 9, 2015.The contents of these related applications are incorporated by referenceherein.

FIELD

The present disclosure relates to monitoring and controlling diffusionof fluids into tissue specimens. More particularly, the presentdisclosure relates to generation of optimized protocols for diffusingfluid into tissue specimens using acoustical monitoring.

BACKGROUND

There are many laboratory techniques that involve diffusing a fluid intoa tissue specimen. In these techniques, ensuring adequate diffusion ofthe liquid into the tissue is often a critical factor in the technique'ssuccess.

One example is immersion fixation, wherein a collected tissue sample isimmersed in a liquid fixative for a period of time sufficient topreserve the tissue. Many standard medical tests rely on such fixedtissues, making accurate preservation of the morphological and molecularfeatures of the fixed tissue a critical requirement. Accordingly,guidelines have been established by oncologists and pathologists forproper fixation of tissue samples. For example, according to theAmerican Society of Clinical Oncology (ASCO), tissues to be tested forHER2 by immunohistochemistry should be fixed in neutral bufferedformalin solution for at least 6 hours but not more than 72 hours. Evenif this protocol is followed for breast samples, however, it is broad,inefficient, and leaves room for interpretation of best practices.Moreover, such fixation protocols often fail to preserve criticalmolecular features of the fixed tissue, such as phosphorylation ofproteins.

A two-temperature fixation method was recently developed to addressthese concerns, in which tissue is first immersed in cold fixativesolution for a first period of time, followed by heating the tissue forthe second period of time. The cold step permits the fixative solutionto diffuse throughout the tissue without substantially causingcross-linking. Then, once the tissue has adequately diffused throughoutthe tissue, the heating step leads to cross-linking by the fixative. Thecombination of a cold diffusion followed by a heating step leads to atissue sample that is more completely fixed than by using standardmethods. However, different tissue samples can vary considerably in sizeand shape, while fluids diffuse into different tissue types at differentrates. One therefore is left to empirically determine appropriatediffusion times and cross-linking conditions that provide specific fixedtissues with satisfactory histomorphology and immunohistochemicalcharacteristics, which can be a laborious process. Moreover, there is noguarantee that the empirically-determined conditions are the mostefficient or optimal conditions.

Additionally, others have developed a process for fixing tissue by firstimmersing the tissue in a cold formalin solution while simultaneouslybombarding the tissue with high-intensity ultrasonic waves, under thetheory that the high-intensity ultrasonic waves will accelerate thediffusion of the formalin into the tissue while instigating acceleratedcrosslinking thru localized temperature increases and the generation offree radicals. However, the method is complicated and the high-intensityultrasonic waves have the potential to significantly damage the tissuesand cause uneven fixation.

The present inventors are unaware of any reason-based methodologies foridentifying an optimal diffusion time of a given fluid into a variety ofdifferent tissue types, such that a single protocol can be developedthat ensures adequate diffusion of the fluid into the tissue withoutusing arbitrarily long diffusion times or other manipulations that coulddamage the integrity of the tissue.

SUMMARY

The disclosure provides a method and system useful for optimizingdiffusion times of fluids into tissue samples and generatingstandardized protocols applicable to a wide variety different types oftissue samples, particularly varieties of different types of tissuesample of similar sizes. Using the various embodiments of the system andmethod described herein, progress of diffusion can be monitored inseveral different tissue samples, and the degree of diffusion in thetissues, can be correlated with quality of a subsequent assay performedon the tissues. From this information, a time-for-diffusion can bedetermined that ensures adequate diffusion across a wide variety ofdifferent tissue types, which can then be used to develop standardizedprotocols. Further, a tissue preparation system may be programmed toeither soak all tissue samples for this minimum amount of time, or tomonitor the diffusion of a specific tissue sample and determine anoptimal time for the soak, or any combination thereof.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a system for optimizing tissue fixation using diffusionmonitoring, according to an exemplary embodiment of the subjectdisclosure.

FIG. 2 shows a method for determining an optimal time for diffusing atissue sample, according to an exemplary embodiment of the subjectdisclosure.

FIG. 3 shows a time-of-flight curve for a tissue sample, according to anexemplary embodiment of the subject disclosure. The graph displays TOFtraces generated from a tissue sample cold soaked in 10% NBF. Eachsignal comes from a different spatial location within the tissue (Δy≈1mm).

FIG. 4 shows a method for optimizing tissue fixation, according toexemplary embodiments of the subject disclosure.

FIG. 5 shows an optimized protocol for tissue fixation, according to anexemplary embodiment of the subject disclosure.

FIG. 6A is a plot of the average decay constant, per organ, and sortedfrom lowest to highest decay constant for the 33 organs characterized inthe study in the Examples. Vertical lines separate the organs types intoapproximate quartiles. All samples are 5-7 mm thick. Tissues are asfollows: A: Artery; B: Gall bladder; C: Rectum; D: Ovary; E: Uterus; F:Stomach; G: Kidney; H: Jejunum; I: Lower GI; J: Ribcage; K: Ileum; L:Muscle; M: Thyroid; N: Cervix; O: Testis; P: Adrenal gland; Q: Colon; R:Appendix; S: Bladder; T: Lung; U: Pancreas; V: Esophagus; W: Tongue; X:Cardiac; Y: Duodenum; Z: Lymph node; 1: Breast; 2: Brain; 3: Tonsil; 4:Liver; 5: Skin; 6: Spleen; and 7: Fat.

FIG. 6B is a probability density function for all tissue's largest decayconstant. The average decay constant was 2 hours and 35 minutes.

FIG. 6C is a cumulative distribution function for all tissues' decayconstant calculated as the integral of the PDF from FIG. 6B. Asindicated with the dashed line, 92.8% of samples have a slowest decayconstant of less than or equal to 6 hours.

FIG. 7A-D show stain quality comparisons between tissue samples stainedusing the disclosed methods versus the prior art, according to anexemplary embodiment of the subject disclosure.

FIGS. 8A-D show various components of a modified tissue processor forperforming the processes disclosed herein. FIG. 8A illustrates a Lynx IIcommercial tissue processor custom modified with ultrasound-based tissuemonitoring technology. FIG. 8B illustrates a Solidworks® drawing of scanhead attached to dip-and-dunk mechanism shown in 8A. Pairs of 4 MHztransducers were spatially aligned on either side of the cassette,displayed in green, and a TOF value is calculated from each transducerpair. The cassette is secured in the cassette holder, which wasvertically translated along the top guiderail to acquire 2D spatialinformation. FIG. 8C illustrates a fixture housing the receivingtransducers. The orthogonal transducer pair served as a referencechannel to detect temporal gradients in the formalin. FIG. 8D is aphotograph of the histological cassette used to hold tissue specimens.

FIGS. 9A and 9B depict an example of how the samples are scanned. FIG.9A depicts an ultrasound scan pattern, drawn to scale, when imaging astandard sized histological cassette. One pair of transducers scans eachcolumn of the cassette. The cassette is vertically translated ≈1 mm anda TOF value is calculated at each position (indicated by the dots). Thefull-width-half-maximum of the ultrasound beam is 2.2 mm (illustrated bythe circles).

FIG. 9B is a photograph of a standard sized cassette with 6 pieces oftissue placed inside. The dashed box illustrates a scan field and thedark lines indicate discrete points where a scan is made. The resultingTOF traces are shown at FIG. 3.

FIG. 10 illustrates the effect of cold soak time on tissue morphology.The images at the left are H&E-stained sections of human tonsil coresfixed with a cold+warm protocol, cold soak times as indicated on theside of H&E pictures. The right summarizes multiple time courseexperiments shaded to indicate the quality of tissue morphology. Arrowindicates quality of tissue morphology, dark band=poor morphology,patterned band=adequate morphology, and light band=good morphology.

FIG. 11 is a plot of the decay constants for each tissue's slowestdiffusing region for datasets collected with 6 mm human tonsils coldsoaked in 10% formalin for 3 hours (Left) and 5 hours (Right). Averagevalues are 4 hr 16 min and 4 hr 38 min for the 3 and 5 hour datasets,respectively. The difference of 22 min in average decay constantsbetween the two datasets is statistically insignificant (p=0.45),indicating that the present detection mechanism reports consistentresults as a function of monitored time.

FIG. 12 is a plot of the decay constant from each tissue's slowestdiffusing region for the 33 different organs listed. All samples are 5-7mm thick. Tissues are as follows: A: Adrenal Gland; B: Appendix; C:Artery; D: Bladder; E: Brain; F: Breast; G: Cardiac; H: Cervix; I:Colon; J: Duodenum; K: Esophagus; L: Fat; M: Gallbladder; N: Ileum; O:Jejunum; P: Kidney; Q: Liver; R: Lower GI; S: Lung; T: Lymph node; U:Muscle; V: Ovary; W: Pancreas; X: Rectum; Y: Ribcage; Z: Skin; 1:Spleen; 2: Stomach; 3: Testis; 4: Thyroid; 5: Tongue; 6: Tonsil; and 7:Uterus.

FIG. 13 is a digital image of representative colon and skin samplesfixed with a 6+1 protocols (6 hours cold+1 hour hot; left panels) andcompared to standard 24 hr room temperature (right panels).

DETAILED DESCRIPTION

The subject disclosure relates to methods for generating staticprotocols for diffusing a fluid into a plurality of different types oftissues. The prediction is enabled by monitoring the completeness ofdiffusion of several of the similarly sized tissue samples, andcorrelating the progression of diffusion with a quality of thesubsequent assay. From this, a minimum time for diffusion can bedetermined that results in an adequate diffusion of fluid into each ofthe different types of tissue samples for performing the subsequentanalytical process.

In an embodiment, a method of developing a standardized protocol forensuring a sufficient degree of diffusion of a fluid into a multipledifferent types of tissue samples is provided, said method comprising:

-   -   (a) immersing each of a plurality of different types of        similarly sized tissue samples into a volume of the fluid;    -   (b) monitoring movement of the fluid into each of the plurality        of different types of tissue samples by measuring time of flight        of acoustic waves passed through the tissue sample (TOF); and    -   (c) determining the time to reach at least a decay constant for        each of the plurality of different types of tissue samples (τ);        and    -   (d) selecting a standardized diffusion time for the standardized        protocol that corresponds to a time that is based on the longest        τ determined in (c) (τ_(slowest)).

As used herein, a “standardized protocol” is a single protocol thatresults in adequate diffusion of the fluid into a plurality of differenttypes of tissue samples without requiring individual optimization foreach of the different types of tissue samples. What qualifies as“adequate diffusion” will depend on the particular protocol and thedesired results. For example, where the diffusion process is a part ofan immersion fixation protocol, adequate diffusion can be determined bytesting the resulting fixed tissues for, for example, clinicallyacceptable morphology in hematoxylin and eosin (H&E) stained tissue asdetermined by a qualified pathologist and/or adequate preservation ofbiomarkers in the tissue as determined by immunohistochemistry and/or insitu hybridization techniques. Preferably, the standardized protocolsgenerated by the methods described herein reduce the overall processingtime compared to generally accepted protocols in the art while providingsimilar results to individually optimized protocols.

Numerous protocols for processing and/or analyzing a tissue samplerequire a step in which a reagent is diffused into a tissue sample.

In one exemplary embodiment, the standardized protocol is an immersionfixation protocol. Immersion fixation is a technique for preserving atissue sample by immersing the tissue sample into a liquid fixativesolution for a period of time sufficient to allow the fixative todiffuse into the tissue. In contrast, a technique known as perfusionfixation primarily relies on the tissue's vasculature to distribute thefixative throughout the tissue. In another exemplary embodiment, theimmersion fixation protocol does not include a perfusion fixation step.In another exemplary embodiment, the immersion fixation protocol uses analdehyde-based fixative solution, such as glutaraldehyde- and/orformalin-based solutions. In another exemplary embodiment, thestandardized protocol comprises immersing a tissue sample, which is inan unfixed state, into a volume of cold aldehyde-based fixative for aperiod of time sufficient to allow the fixative to diffuse into thetissue to obtain a fixative-diffused tissue sample, followed byincubating the fixative-diffused tissue sample in the presence of avolume of an aldehyde-based fixative at a higher temperature for asufficient period of time to allow cross-linking to occur (hereafter“two-temperature immersion fixation”). Two-temperature immersionfixation methods represent an improvement over standardsingle-temperature fixation method and microwave fixation methods byensuring complete penetration of fixative into the tissue beforesubstantial chemical cross-linking occurs, which improves the speed atwhich acceptable fixation occurs and better preserves certain targetanalytes (such as phosphorylated proteins). Examples of aldehydesfrequently used for immersion fixation include:

-   -   formaldehyde (standard working concentration of 5-10% formalin        for most tissues, although concentrations as high as 20%        formalin have been used for certain tissues);    -   glyoxal (standard working concentration 17 to 86 mM);    -   glutaraldehyde (standard working concentration of 200 mM).

Aldehydes are often used in combination with one another. Standardaldehyde combinations include 10% formalin+1% (w/v) Glutaraldehyde.Atypical aldehydes have been used in certain specialized fixationapplications, including: fumaraldehyde, 12.5% hydroxyadipaldehyde (pH7.5), 10% crotonaldehyde (pH 7.4), 5% pyruvic aldehyde (pH 5.5), 10%acetaldehyde (pH 7.5), 10% acrolein (pH 7.6), and 5% methacrolein (pH7.6). Other specific examples of aldehyde-based fixative solutions usedfor immunohistochemistry are set forth in Table 1:

TABLE 1 Solution Standard Composition Neutral Buffered 5-20% formalin +phosphate buffer (pH ~6.8) Formalin Formal Calcium 10% formalin + 10 g/Lcalcium chloride Formal Saline 10% formalin + 9 g/L sodium chloride ZincFormalin 10% formalin + 1 g/L zinc sulphate Helly's Fixative 50 mL 100%formalin + 1 L aqueous solution containing 25 g/L potassium dichromate +10 g/L sodium sulfate + 50 g/L mercuric chloride B-5 Fixative 2 mL 100%formalin + 20 mL aqueous solution containing 6 g/L mercuric chloride +12.5 g/L sodium acetate (anhydrous) Hollande's 100 mL 100% formalin + 15mL Acetic acid + 1 L Solution aqueous solution comprising 25 g copperacetate and 40 g picric acid Bouin's Solution 250 mL 100% formalin + 750mL saturated aqueous picric acid + 50 mL glacial acetic acid

In some immersion fixation processes, the aldehyde concentration used ishigher than the above-mentioned standard concentrations. For example, ahigh-concentration aldehyde-based fixative solution can be used havingan aldehyde concentration that is at least 1.25-times higher than thestandard concentration used to fix a selected tissue forimmunohistochemistry with a substantially similar composition. In someexamples, the high-concentration aldehyde-based fixative solution isselected from: greater than 20% formalin, about 25% formalin or greater,about 27.5% formalin or greater, about 30% formalin or greater, fromabout 25% to about 50% formalin, from about 27.5% to about 50% formalin,from about 30% to about 50% formalin, from about 25% to about 40%formalin, from about 27.5% to about 40% formalin, and from about 30% toabout 40% formalin. As used in this context, the term “about” shallencompass concentrations that do not result in a statisticallysignificant difference in diffusion at 4° C. as measured by Bauer etal., Dynamic Subnanosecond Time-of-Flight Detection for Ultra-preciseDiffusion Monitoring and Optimization of Biomarker Preservation,Proceedings of SPIE, Vol. 9040, 90400B-1 (2014 Mar. 20).

Other exemplary standardized protocols including a diffusion step willbe immediately apparent to the person of ordinary skill in the art.

The immersion conditions in the present methods for generating astandardized protocol should be comparable to the conditions that willbe used in the standardized protocol. Thus, where the standardizedprotocol uses specific temperatures, fluid volumes, atmosphericpressures, etc., the immersion step of the present methods should usethe same conditions. Thus, for example, if the standardized protocol isa two-temperature immersion fixation protocol, the same fixative volumeand temperature should be used as will be used in the standardizedprotocol.

The samples do not need to be identically sized or identically shaped.In certain embodiments, the size of the samples will be selected tocorrelate with the types of samples used in the standardized protocol.For example, tissue fixation protocols are often performed using tissueprocessing cassettes, such as, for example, (1) “Standard” tissueprocessing cassettes (see, e.g., CellPath catalog #EAI-0104-10A); (2)“Biopsy” tissue processing cassettes (see, e.g., CellPath catalog#EAK-0104-03A), which are used for typically smaller sized tissuesamples; and (3) “resection” tissue processing cassettes (see, e.g.,CellPath catalog #EAG-0102-02A), which are typically used for largertissue samples, such as prostate, brain, breast, and eye tissue. In anembodiment, the tissues are sized to fit one of these types oftissue-processing cassettes (“histologically-sized tissue sample”).

The plurality of different types of similarly sized tissue samplesideally should be selected to have a range of diffusion characteristicsthat is generally representative of the different tissue types thatcould be used in a subsequent analytical process. This could involveselecting each type of sample that could possibly be used, or a subsetthereof. When a subset is used, one or more tissue types that would beexpected to have slower diffusion times relative to the rest of thepotential tissues types useful in the selected analytical process shouldbe selected. In one example, the plurality of different types ofsimilarly sized tissues include 1 or more, 2 or more, 3 or more, 4 ormore, 5 or more, 6 or more, 7 or more, 8 or more, 9 or more, 10 or more,15 or more, 20 or more, 25 or more, or each of the tissue types selectedfrom the group consisting of artery, gall bladder, rectum, ovary,uterus, stomach, kidney, jejunum, lower GI, ribcage, ileum, muscle,thyroid, cervix, testis, adrenal gland, colon, appendix, bladder, lung,pancreas, esophagus, tongue, cardiac, duodenum, lymph node, breast,brain, tonsil, liver, skin, spleen, and adipose tissue. In anotherembodiment, the plurality of different types of similarly sized tissuesincludes at least one of the tissue types selected from the groupconsisting of lymph node, breast, brain, tonsil, liver, skin, spleen,and adipose tissue.

Movement of fluid into the tissue is tracked by tracking time of flight(TOF) of acoustic waves transmitted through the tissue. In this context,TOF is the amount of time that it takes a single acoustic wave to passfrom an acoustic transmitter at a fixed position relative to the tissuesample to an acoustic receiver at a fixed position relative to thetissue sample. Methods for tracking TOF in tissues are described in, forexample, US 2013-0224791 and US 2012-0329088, the contents of which areincorporated by reference in their entirety. These methods are based onthe observation that, by displacing interstitial fluid in the tissuewith a fluid having a discretely different sound velocity than theinterstitial fluid (such as formalin) can change the speed at whichsound travels through the tissue, thus causing a change in TOF.Depending on whether the fluid increases or decreases the speed of soundpassing through the tissue, the TOF will either increase or decrease asmore fluid diffuses into the tissue.

TOF may be monitored using a system of acoustic probes, which includesat least one probe capable of transmitting ultrasonic waves(transmitter) and at least one probe capable of detecting ultrasonicwaves (receiver). As high-intensity ultrasonic waves can damage tissues,the ultrasonic waves transmitted by the transmitter preferably have anultrasound intensity that does not significantly cause heating or damageto the tissue. In an embodiment, a transmitter is used that is capableof transmitting ultrasonic waves at a low intensity, such as anintensity of less than 1 W/cm². For example, in some embodiments, anintensity 0.5 W/cm² or less, 0.2 W/cm² or less, 0.05 W/cm² or less, or0.02 W/cm² or less is used. Additionally, the ultrasonic waves may betransmitted at a single frequency, for example, at a frequency selectedfrom 0.5-10 MHz, for example, at 4 MHz+/−1 kHz. The transmitter andreceiver may both be operably connected to a processor, which correlatesthe ultrasonic waves transmitted from the transmitter to the acousticwaves received by the receiver, and calculates TOF therefrom.

The present methods for generating a standardized protocol use changesin TOF to indicate the extent to which a fluid has diffused into thetissue sample. Changes in TOF are tracked for each of the plurality ofdifferent types of similarly sized tissue samples over a period of time,the changes in TOF are correlated with a degree of diffusion, and thetime required for each of the different types of similarly sized tissuesamples to reach a predefined end point is determined. TOF measurementsmay be taken at discrete time points, or may be measured continuously.Preferably, TOF measurements are not taken using high-intensityultrasonic waves. As used herein, “high-intensity ultrasonic waves” areultrasonic waves transmitted at an intensity of 1 W/cm² or higher. In anembodiment, the TOF measurements are taken using ultrasonic wavestransmitted at an intensity of 0.5 W/cm2 or less, 0.2 W/cm2 or less,0.05 W/cm2 or less, or 0.02 W/cm2 or less. In another embodiment, TOFmeasurements are taken using ultrasonic waves transmitted at a singlefrequency selected from the range of 0.5-10 MHz, for example, at 4MHz+/−1 kHz. In another embodiment, TOF measurements are taken usingultrasonic waves transmitted at an intensity of 0.5 W/cm2 or less, 0.2W/cm2 or less, 0.05 W/cm2 or less, or 0.02 W/cm2 or less and a singlefrequency selected from the range of 0.5-10 MHz, for example, at 4MHz+/−1 kHz. The amount of time required for each tissue type to reachthe predefined end point shall hereafter be referred to as a “τ.”Preferably, the predefined end point is a predefined decay constant.Sample decay constants are calculated using a nonlinear globaloptimization algorithm which correlates empirically measured data withvariables from a predefined equation. The variables (e.g. decayconstant, amplitude, offset) that best align the predefined equationwith recorded data are returned as the true values of the tissue.

After the τs are determined for each tissue sample, an amount of time isselected for the standardized protocol based at least in part on thelongest τ (τ_(slowest)). The standardized diffusion time is selectedsuch that a sufficient amount of time is provided for adequate diffusionof liquid into each of the different tissue types. The standardizeddiffusion time does not necessarily need to be equal to one of theτ_(slowest). In some circumstances, a standardized diffusion time can beselected that is lower than one or more of the τ. For example, thestandardized protocol may contain multiple processing steps involvingimmersion of the tissue sample in the fluid, only one of which isexplicitly for the purpose of ensuring adequate diffusion (such as thetwo-temperature fixation process discussed above). In such a case, itmay be possible to stop the designated diffusion step before completediffusion has been achieved, because the subsequent immersion steps maypermit further diffusion of the fluid into the tissue. Additionally, thestandardized diffusion time may be higher than each of the T, forexample, in order to compensate for potential variations in thecomposition, geometry, etc., of different samples of the same tissuetypes. Thus, in certain exemplary embodiments, the standardizeddiffusion time is in the range of: 0.5−τ_(slowest) to 1.5−τ_(slowest);0.75−τ_(slowest) to 1.25−τ_(slowest); 0.9−τ_(slowest) to1.1−τ_(slowest); or 0.99−τ_(slowest) to 1.01−τ_(slowest). Other rangesmay be useful as well. Preferably, a standardized diffusion time isselected that reduces the overall processing time compared to generallyaccepted protocols in the art while providing similar results toindividually optimized protocols.

In one specific exemplary embodiment, the standardized diffusion time isa part of a two-temperature immersion fixation protocol. As discussedabove, the two-temperature immersion fixation protocol involves: (1) adiffusion step in an aldehyde-based fixative solution at a coldtemperature; and (2) a cross-linking step, performed at a highertemperature (e.g. from 20° C. to 55° C.) to accelerate the rate ofcross-linking induced by the aldehyde-based fixative. In exemplaryembodiments, the diffusion step is performed in a fixative solution thatis below 20° C., below 15° C., below 12° C., below 10° C., in the rangeof 0° C. to 10° C., in the range of 0° C. to 12° C., in the range of 0°C. to 15° C., in the range of 2° C. to 10° C., in the range of 2° C. to12° C., in the range of 2° C. to 15° C., in the range of 5° C. to 10°C., in the range of 5° C. to 12° C., in the range of 5° C. to 15° C. Thecold temperatures used in the diffusion step have the dual benefits ofincreasing the rate of diffusion by inhibiting excessive cross-linkingat the periphery of the tissue (which inhibits diffusion of the fixativeinto the tissue) and of reducing enzymatic activity in the tissue,thereby more accurately preserving molecular details of the tissue (suchas phosphorylated proteins). The combination of cold and hot steps helpssignificantly reduce the processing time required for complete fixationof the tissues. Thus, in such embodiments, the methods of standardizingprotocols may include additional processing steps directed to the “hot”step.

In one exemplary embodiment, a method of developing a standardizedtwo-temperature immersion fixation protocol is provided, said methodcomprising:

-   -   (a) immersing each of a plurality of different types of        similarly sized tissue samples into a volume of an        aldehyde-based fixative at a temperature selected from below 20°        C., below 15° C., below 12° C., below 10° C., in the range of        0° C. to 10° C., in the range of 0° C. to 12° C., in the range        of 0° C. to 15° C., in the range of 2° C. to 10° C., in the        range of 2° C. to 12° C., in the range of 2° C. to 15° C., in        the range of 5° C. to 10° C., in the range of 5° C. to 12° C.,        in the range of 5° C. to 15° C.;    -   (b) monitoring movement of the fixative into each of the        plurality of different types of tissue samples by measuring time        of flight of acoustic waves passed through the tissue sample        (TOF); and    -   (c) determining the time to reach at least a first predefined        decay constant for each of the plurality of different types of        tissue samples (τ); and    -   (d) selecting a standardized diffusion time for the standardized        protocol that corresponds to a time that is at least as long as        predefined percentage of the longest τ determined in (c);    -   (e) immersing each of the plurality of different types of        similarly sized tissue samples in a volume of the aldehyde-based        fixative used in (c) at the same temperature used in (c) for the        standardized diffusion time selected in (d) to obtain        fixative-diffused tissue samples;    -   (f) immersing each of the fixative-diffused tissue samples into        a volume of an aldehyde-based fixative and evaluating adequacy        of fixation at a plurality time points, wherein the        aldehyde-based fixative is at temperature in the range of 20° C.        to 55° C.;    -   (g) determining a minimal time required for heating each        fixative-diffused tissue samples at the selected temperature to        obtain an adequately-fixed tissue sample (minimal fixation        time); and    -   (h) selecting a standardized fixation time that is at least as        long as the longest minimal fixation time;

wherein the standardized immersion fixation protocol comprises: (1) adiffusion step comprising immersing a subject tissue sample in a volumeof the aldehyde-based fixative used in (c) at the same temperature usedin (c) for the standardized diffusion time selected in (d) to obtain afixative-diffused subject tissue samples; and (2) immersing thefixative-diffused tissue samples in the presence of a volume of the samealdehyde-based fixative used in (f) at the same temperature used in (h)for the standardized fixation time. In some embodiments, thestandardized immersion fixation protocol does not include exposure ofthe subject tissue sample to high intensity ultrasonic waves.

Using these methods, a method for fixing a tissue sample of up to 7 mmthickness has been identified, the method comprising:

-   -   (a) immersing the tissue sample in an aldehyde-based fixative at        a temperature of 0° C. to 15° C., and permitting the cold        fixative to diffuse into the tissue for more than 5 hours to        obtain a fixative-diffused tissue sample; and    -   (b) heating the fixative-diffused tissue sample in the presence        of an aldehyde-based fixative at a temperature of 20° C. to        55° C. for a sufficient amount of time to permit cross-linking.

In certain embodiments, the tissue samples are chosen to be from 1 mmthickness to 7 mm thickness. In other embodiments, the cold fixative isat a temperature of from 5° C. to 12° C. In some embodiments, thecombined time of (a) and (b) is 8 hours or less. In some embodiments,the tissue sample is not exposed to high-intensity ultrasonic wavesduring (a) or (b). In some embodiments, the tissue sample is not exposedto ultrasonic waves at an intensity of greater than 1 W/cm² during (a)or (b). In some embodiments, the tissue sample is not exposed toultrasonic waves at an intensity of greater than 0.5 W/cm², greater than0.2 W/cm², greater than 0.05 W/cm², or greater than 0.02 W/cm² during(a) or (b).

FIG. 1 shows a tissue processing system 100 for optimizing tissuefixation using diffusion monitoring, according to an exemplaryembodiment of the subject disclosure. System 100 comprises an acousticmonitoring device 102 communicatively coupled to a memory 110 forstoring a plurality of processing modules or logical instructions thatare executed by processor 105 coupled to computer 101. Acousticmonitoring device 102 may detect acoustic waves that have traveledthrough a tissue sample and may include one or more transmitters and oneor more receivers. The tissue sample may be immersed in a liquidfixative while the transmitters and receivers communicate to detect timeof flight (TOF) of acoustic waves. Processing modules within memory 110may include logical non-transitory computer-readable instructions forenabling processor 105 to perform operations including monitoring thediffusion of a fixative through a tissue sample, evaluating the speed ofan acoustic wave traveling through the tissue sample based on time offlight, determining the time to reach at least a decay constant for eachof the plurality of different types of tissue samples, selecting astandardized diffusion time, executing fixation protocols using thestandardized diffusion time and a minimum fixation time, performingquality correlation for training purposes, storing standardizeddiffusion times and other results in a database, and other operationsthat potentially result in an output of quantitative or graphicalresults to a user operations computer 101. Consequently, although notshown in FIG. 1, computer 101 may also include user input and outputdevices such as a keyboard, mouse, stylus, and a display/touchscreen.

For example, the measurements from the acoustic sensors in acousticmonitoring device 102 may be received by a diffusion monitoring module111 to track the change of a ToF of acoustic signals through the tissuesample. This includes monitoring the tissue sample at differentpositions over time to determine diffusion over. As formalin penetratesinto tissue it displaces interstitial fluid. This fluid exchangeslightly changes the composition of the tissue volume becauseinterstitial fluid and formalin have discrete sound velocities. Theoutput ultrasound pulse thus accumulates a small transit timedifferential that increases as more fluid exchange occurs. Diffusionmonitoring therefore includes dynamically tracking and quantifying theformalin diffusion until the tissue is at complete osmotic equilibriumand no more diffusion takes place. As described herein, how long ittakes for diffusion to reach an optimum level (for example, 63%completion) varies with organ type, tissue constants, spatialheterogeneity, temperature, placement in the cassette, etc. Thesefactors are generally controlled for based on the description of thediffusion monitoring system described in U.S. Patent Publication2013/0224791. Generally, formalin diffusion is highly correlated with asingle exponential trend, where the time transient of the trend can becompletely characterized by a decay constant as further describedherein. Once the decay constant is reached, there is sufficientformaldehyde inside the tissue to guarantee quality staining. Using thecurves for each tissue sample, the diffusion is tracked at everyposition, and the region with the longest decay constant is correlatedwith an optimal result or an existing staining result. For trainingpurposes or to compare with existing or known staining results, qualitycorrelation module 113 may be invoked. Based on the results, a fixationmodule 112 may execute a fixation protocol such as a standardizedprotocol as described herein.

As described above, the modules include logic that is executed byprocessor 105. “Logic,” as used herein and throughout this disclosure,refers to any information having the form of instruction signals and/ordata that may be applied to affect the operation of a processor.Software is one example of such logic. Examples of processors arecomputer processors (processing units), microprocessors, digital signalprocessors, controllers and microcontrollers, etc. Logic may be formedfrom signals stored on a computer-readable medium such as memory 110that, in an exemplary embodiment, may be a random access memory (RAM),read-only memories (ROM), erasable/electrically erasable programmableread-only memories (EPROMS/EEPROMS), flash memories, etc. Logic may alsocomprise digital and/or analog hardware circuits, for example, hardwarecircuits comprising logical AND, OR, XOR, NAND, NOR, and other logicaloperations. Logic may be formed from combinations of software andhardware. On a network, logic may be programmed on a server, or acomplex of servers. A particular logic unit is not limited to a singlelogical location on the network. Moreover, the modules need not beexecuted in any specific order. For instance, classification module 118may be invoked during operation of training module 111, as well asduring operation of CNN module 116. Each module may call another modulewhen needed to be executed.

FIG. 2 shows a method for determining an optimal time for diffusing atissue sample, according to an exemplary embodiment of the subjectdisclosure. The method begins with formalin diffusion S201 of tissuesamples that may be used to train the system. Upon soaking, a timer isstarted (S202) and the diffusion of the tissue sample is monitored(S203). A determination is made as to whether or not the tissue issufficiently diffused (S203). This determination may be based on thecorrelation of formalin diffusion with a single exponential trend, wherethe time transient of the trend can be completely characterized by adecay constant. For example, a reference compensated ToF trace from atissue sample may be empirically determined to be highly correlated witha single exponential curve of the form:

TOF(x,y,t)=C(x,y)+Ae ^(−t/τ(x,y))

where C is a constant offset in nanoseconds (ns), A is the amplitude ofthe decay in nanoseconds (ns), τ is the decay constant in hours, and thespatial dependence (x, y) is explicitly stated. The signal amplituderepresents the magnitude of the diffusion and is thus directlyproportional the amount of fluid exchange. The decay constant representsthe time for the amplitude to decrease by 63% and is inverselyproportional to the rate of formalin diffusion into the tissue (i.e.large decay constant=slowly diffusing). To calculate these metrics, ToFdiffusion trends may be fitted to the above equation using non-linearregression. Further, the scanning capabilities of the acoustic systemenable calculating and tracking which spatial volume of the tissuesample diffuses the slowest. This decay constant represents the limitingfactor for when the tissue is thoroughly diffused and is referred to asthe slowest decay constant (τ_(slowest)).

If the decay constant is not reached, the method simply waits whilecontinuing measurement (S204). Once the decay constant is reached, thereis sufficient formaldehyde inside the tissue to guarantee qualitystaining, and the timer may be stopped (S205) and the time may berecorded in a database record associated with the specific tissue typeand other details in database 214. In the example of human tonsiltissue, experimental results showed that 6 mm human tonsil samplesrequire at most 5 hours of cold diffusion time in 10% NBF to haveoptimal of 4.5 hours, based on a time course experiment using 6 mmdiameter cores of human tonsil tissues submerged into 4° C. NBF followedby 1 hour in 45° C. NBF. Based on the experimental results, thisdetermination is enabled by the equation:

$\frac{t_{done}}{\tau_{slowest}} = \left. \frac{5{hour}}{4.5{hour}}\Rightarrow{t_{done} \approx \tau_{slowest}} \right.$

Where t_(done) is the needed diffusion time in cold formalin andτ_(slowest) represents the decay constant of the slowest diffusingvolume of the tissue. Therefore, this protocol may be able to betterpredict when the sample is optimally diffused based on analysis topredict when the sample is most properly stained, or record several ToFdiffusion curves and use them to predict optimal fixation time dependingon the sample.

An exemplary ToF diffusion curve is shown in FIG. 3. As describedherein, for each tissue sample, the diffusion is tracked at everyposition, and the region with the longest decay constant is correlatedwith an optimal result or an existing staining result. FIG. 3 shows ToFtraces 320 generated from a human tonsil sample that was cold soaked in10% NBF. Each curve represents a signal from a different spatiallocation within the tissue with a 1 mm shift for each reading.

FIG. 4 shows a method for optimizing tissue fixation, according toexemplary embodiments of the subject disclosure. In this exemplaryembodiment, a tissue processing system may be equipped with acousticsensors on board for real-time monitoring of each tissue sample as it isprovided into the system. The method begins with formalin diffusion(S401) of a tissue sample. Upon soaking, a timer is started (S402) andthe diffusion of the tissue sample is monitored for a thresholddiffusion (S403). A determination is made as to whether or not thetissue is sufficiently diffused (S403). This may be based on one or morethreshold diffusion constants stored in time database 414. For example,the training embodiment of FIG. 2 may be used to provision thethresholds into database 414, and subsequent tissue samples with similarcharacteristics (such as tissue type, age, etc.) may be processed usingthe decay constants or time periods provisioned into database 414.Therefore, a threshold may either include a decay constant threshold ora time period threshold.

In either case, if the threshold is not reached, the method simply waitswhile continuing measurement (S404). Once the threshold time or decayconstant is reached, there is sufficient formaldehyde inside the tissueto guarantee quality staining, and the timer may be stopped (S405) andthe tissue is processed, by switching to heated formalin for a specifiedminimum time period, e.g. 1 hour. The minimum time period may be anytime period sufficient for fixation to take place while the tissue issubject to heat to increase crosslinking kinetics. Any other process maybe subsequently performed.

As described herein, Applicants have conducted a series of experimentsbased on histological staining results and monitored diffusion,resulting in a rule set for how much diffusion is needed across avariety of tissue types to guarantee quality staining. Diffusion offormalin into the tissue samples was dynamically monitored to determinehow much crosslinking agent is required to produce ideal staining fromdownstream assays throughout the sample. A sample set of human tonsilswas scanned using acoustic sensors and subsequently stained formorphology to calibrate the process. In one exemplary embodiment, theacoustic sensors may include pairs of 4 MHz focused transducers(TA0040104-10, CNIRHurricane Tech (Shenzhen) Co., Ltd.) that arespatially aligned such that a tissue sample may be placed at theircommon foci. Samples of tonsil tissues of precise sizes were obtained byusing tissue punches of either 4 or 6 mm in diameter. For cold+warmfixation, 6 mm tonsil cores were placed into 10% NBF (Saturated aqueousformaldehyde from Fisher Scientific, Houston, Tex., buffered to pH6.8-7.2 with 100 mM phosphate buffer) previously chilled to 4° C. foreither 3 or 5 hours. Samples were then removed and placed into 45° C.NBF for an additional 1 hour to initiate crosslinking. After fixation,samples were furthered processed in a commercial tissue processor set toan overnight cycle and embedded into wax. The commercial tissueprocessor may be a commercial dip-and-dunk tissue processor such as theLynx II manufactured by Electron Microscopy Sciences® that may bemodified to include the acoustic sensor assembly. A mechanical head wasdesigned using Solidworks® software to fit around and seal a standardreagent canister. Once sealed, an external vacuum system would initiateto degas the bulk reagent as well as the contents of the cassette,including the tissue. A cassette holder was designed for use with astandard sized histological cassette that securely held the tissue toprevent the sample from slipping during the experiment. Subsequent tofixation, 6 tonsil cores from each run were sectioned length wise andembedded cut side down in the mold. This multiblock arrangement allowsfor each of the 6 cores to be stained simultaneously. Goodhistomorphology was observed with these samples.

FIG. 5 shows an optimized protocol for tissue fixation, according to anexemplary embodiment of the subject disclosure. Subsequent to the tonsilexperiment, over two hundred samples compromising 33 different types oftissues were analyzed, with the result that 6 hours in 10% formalin willguarantee enough crosslinking agent to produce proper staining results.This cold diffusion time was then verified with staining on severaldifferent types of tissues. This study indicates a protocol of 6 hoursin cold formalin (S501) can standardize and optimize tissue processingacross all types of tissues, up to 7 mm thick, and guarantee idealbiomarker and morphological structure preservation with a rapid protocolcompared to standard room temperature fixation. In other words, for anygiven tissue type, a 4 degree 10% neutral-buffer formalin soak for 6hours cold (S501) followed by a 1 hour warm soak (S502) will guaranteequality staining resulting in more accurate diagnoses. In exemplaryembodiments, the diffusion step (S501) is performed in a fixativesolution that is either below 20° C., below 15° C., below 12° C., below10° C., in the range of 0° C. to 10° C., in the range of 0° C. to 12°C., in the range of 0° C. to 15° C., in the range of 2° C. to 10° C., inthe range of 2° C. to 12° C., in the range of 2° C. to 15° C., in therange of 5° C. to 10° C., in the range of 5° C. to 12° C., or in therange of 5° C. to 15° C. The cold temperatures used in the diffusionstep have the dual benefits of increasing the rate of diffusion byinhibiting excessive cross-linking at the periphery of the tissue (whichinhibits diffusion of the fixative into the tissue) and of reducingenzymatic activity in the tissue, thereby more accurately preservingmolecular details of the tissue (such as phosphorylated proteins).

The cross-linking step (S502) is performed at a higher temperature (e.g.from 20° C. to 55° C.) to accelerate the rate of cross-linking inducedby the aldehyde-based fixative. The combination of cold and hot stepshelps significantly reduce the processing time required for completefixation of the tissues.

FIGS. 6A-C show determinations of a time-of-fixation and correspondingdecay constants for various tissue samples, according to an exemplaryembodiment of the subject disclosure. A total of 236 samples weremonitored representing 33 distinct organs and types of biologicaltissue. Referring to FIG. 6A, the average decay constant from eachrespective organ type is displayed, sorted from lowest to highest decayconstant. Displayed in this fashion, more quickly diffusing tissuesregister to the left (i.e. smaller decay constants) and slowly diffusingtissues register to the right (i.e. larger decay constants). Notably, itis observed that several of the tissue types that the American Societyof Clinical Oncology and the College of American Pathologists (ASCO/CAP)has recognized as needing extra time in formalin (e.g. breast, brain,fat) are located on the far right of the graph amongst the slowestquarter of tissues. Therefore, the disclosed ToF diffusion protocol andmonitoring system have confirmed the ASCO/CAP guidelines of slowingdiffusing tissues.

As previously described, an empirically determined time needed in coldformalin may be depicted as:

$\frac{t_{done}}{\tau_{slowest}} = \left. \frac{5{hour}}{4.5{hour}}\Rightarrow{t_{done} \approx \tau_{slowest}} \right.$

From this general equation it may be concluded that samples havingdiffused to approximately one decay constant will have sufficientcrosslinking agent throughout to stain properly. This general groundrule may be applied to all different types of tissues because the timeneeded to sufficiently perfuse a tissue will scale with the rate ofdiffusion. In other words, slowly diffusing tissues will automaticallyneed longer diffusion times whereas faster diffusing tissues willrequire less time in formalin. Moreover, the decay constants from thecumulative tissue dataset depicted in FIG. 6A were analyzed to determinehow long samples needed to be subjected to cold diffusion in 10% NBF toproduce excellent downstream biomarker preservation. The probabilitydensity function (PDF) is plotted in FIG. 6B. The majority of sampleshave a slowest decay constant of about 2 hours. The average decayconstant was 2 hours and 35 minutes. A significant portion displayvalues up to roughly 4 hours and further outliers can be seen with evenlonger decay constants. Moreover, FIG. 6C depicts the cumulative densityfunction (CDF) that is the integral of FIG. 6B. From the CDF, it isobserved that 52.5% of samples have a slowest decay constant of lessthan 2 hours. Similarly, 84.8% of samples have decay constants less than4 hours and 92.8% are less than 6 hours. From the tonsil-basedexperiments and the empirically-determined time equation, the datasuggests that tissue samples need to be in cold formalin for an amountof time approximately equal to their slowest decay constant. Therefore,FIG. 6C would predict that nearly 93% of samples cold soaked in 10% NBFfor 6 hours would stain pristinely with downstream assays.

This estimate of needing one decay constant of cold diffusion time isbased on perfect staining throughout that sample, and is substantiallymore stringent than what is considered a diagnosable slide in currentmedical practice. Additionally, the rule set depicted in FIG. 5 wasdetermined based on the amount of formalin in the slowest diffusing partof the tissue, meaning at threshold the majority of the tissue alreadyhas more than the critical amount of formalin needed for ideal staining.It therefore stands to reason that the remaining 7% of samples that arenot at threshold after 6 hours of cold diffusion will still stainadequately enough for a clinician to make a diagnosis.

However, because diffusion time scales with the square of tissuethickness, samples thinner than 5 mm will diffuse significantly fasterthan larger tissues. Because additional time in cold formalin has nodetrimental effects on cancer biomarker or tissue morphological status,the presented t_(done) will well preserve cancer biomarkers andmorphology in all samples up to 7 mm thick. Many factors can affect therate at which the crosslinking agent formalin will diffuse into tissueincluding sample composition, thickness, temperature, orientation incassette, and preanalytical tissue handling to name a few. The presentedtime needed in cold formalin is especially powerful because all of thesefactors are taken into account. Additionally, the large number ofsamples monitored in the study and the scanning capability of thedisclosed system ensure 6 hours in cold formalin will ideally preservetissue despite variability from different types of tissue (intersamplevariation) as well as contributions from tissue heterogeneity(intrasample variation). Moreover, because the slowest diffusing tissues(fat, brain, etc) were included in this study, other types of tissuesnot exclusively monitored may not be a limiting factor of a potentialprotocol. Thus, all samples up to 7 mm thick will stain properly after 6hours in cold formalin

FIGS. 7A-7D show stain quality comparisons between tissue samplesstained using the disclosed methods versus the prior art, according toan exemplary embodiment of the subject disclosure. FIGS. 7A and 7B show6 mm colon tissue samples fixed with a static 6+1 (FIG. 7A) and ascomparison, a 24 hr room temperature protocol (FIG. 7B) and analyzed forquality of histomorphology. Similarly, FIGS. 7B and 7C show 6 mm skintissue samples fixed with 6+1 (FIG. 7C) and 24 hr (FIG. 7D) protocols.All samples fixed with the 6+1 protocol had identical histomorphologycompared to the same samples fixed with gold standard methods. Thisverifies that an analytical technique, based on time of flightprinciples, can be used to monitor diffusion of NBF in real time andoptimize results.

EXAMPLES I. Methods

A. Tissue Acquisition

Human tonsil tissue was obtained fresh and unfixed from a local Tucsonhospital under a contractual agreement with approved protocols. Wholetonsils from surgery were transported to Ventana Medical Systems Inc.(VMSI) on wet ice in biohazard bags. Samples of tonsil tissues ofprecise sizes were obtained by using tissue punches of either 4 or 6 mmin diameter (Such as Miltex #33-36). For cold+warm fixation, 6 mm tonsilcores were placed into 10% NBF (Saturated aqueous formaldehyde fromFisher Scientific, Houston, Tex., buffered to pH 6.8-7.2 with 100 mMphosphate buffer) previously chilled to 4° C. for either 3 or 5 hours.Samples were then removed and placed into 45° C. NBF for an additional 1hour to initiate crosslinking. After fixation, samples were furtheredprocessed in a commercial tissue processor set to an overnight cycle andembedded into wax.

Additional tissue samples were collected from surgeries under a waiverof consent, using procedures approved by the University of WashingtonInstitutional Review Board. Upon excision, fresh tissue was carried tothe pathology laboratory, generally within 30-60 minutes, and after thediagnostic pathologist had taken sections needed for diagnosis, 6 mmcores were taken for further experimentation. For comparison ofhistomorphology between tissue fixed with experimental conditions andtissue generated by pathology department histotechnologists in a CLIA-and College of American Pathologists (CAP)-certified laboratory,unstained slides from the clinical tissue block generated in each case(10-48 hours RT formalin fixation) were collected.

B. Tissue Staining

After fixation, 6 tonsil cores from each run were sectioned length wiseand embedded cut side down in the mold. This multiblock arrangementpermitted each of the 6 cores to be stained simultaneously. Samples werestained manually by first dewaxing the samples with xylene and then withgraded ethanols and into deionized water. Hematoxylin was applied bydipping a rack of slides into Gill II hematoxylin (Leica Microsystems)for 3 minutes followed by extensive washes in deionized water. Slideswere then submerged into Scott's Original Tap Water (Leica Microsystems)for 1 minute and extensively washed in deionized water. To transition toEosin, racks of slides were submerged first into 70% ethanol then intoEosin Y (Leica Microsystems) for 2 minutes. Slides were washedextensively, at least 4× in 100% ethanol, equilibrated into xylene andcoverslipped.

C. TOF Experimental Setup

Pairs of 4 MHz focused transducers (TA0040104-10, CNIRHurricane Tech(Shenzhen) Co., Ltd.) were spatially aligned and a sample was placed attheir common foci. One transducer, designated the transmitter, sends outan acoustic pulse that traverses the coupling fluid (i.e. formalin) andtissue and is detected by the receiving transducer. Initially, thetransmitting transducer was programmed with a waveform generator(AD5930, Analog Devices) to transmit a sinusoidal wave for severalhundred microseconds. That pulse train was then detected by thereceiving transducer after traversing the fluid and tissue. The receivedultrasound sinusoid and the transmitted sinusoid were comparedelectronically with a digital phase comparator (AD8302, Analog Devices).The output of the phase comparator yielded a valid reading during theregion of temporal overlap between the transmitted and received pulses.The output of the phase comparator was allowed to stabilize before theoutput was queried with an integrated analog to digital converter on themicrocontroller (ATmega2560, Atmel). The process was then repeated atmultiple acoustic frequencies across the bandwidth of the transducer tobuild up the phase relationship between the input and output sinusoidsacross a frequency range. This acoustic phase-frequency sweep was thendirectly used to calculate the TOF using a post-processing algorithmanalogous to acoustic interferometry and capable of detecting transittimes with subnanosecond accuracy.

The speed of sound in fluid has a large temperature dependence (e.g.Δt_(water)≈2.3 ns/° C.·mm at 4° C.) that can greatly affect acoustictransit times especially because TOF is an integrated signal over thepath length of the transducers. Over the course of an experimentrelatively large variations in the total TOF are typically observed duelargely to the effects of thermal fluctuations throughout the fluid. Tocompensate for these environmental fluctuations, the TOF was alsocalculated through only formalin and this acquisition, referred to asthe reference channel, was used to compensate for spatiotemporal thermalgradients in the fluid. However, the reference compensation schemeworked best with relatively slow and low amplitude thermal transients inthe fluid, so reagent temperature was precisely controlled using adeveloped pulse width modulation (PWM) scheme on the cooling hardware.The PWM temperature control used a proportional-integral-derivative(PID) based algorithm that regulate the temperature of the reagenttightly about the set point by making slight adjustments to thetemperature in ˜400 μs increments. The PWM algorithm was found tocontrol the temperature of the fluid with a standard deviation of 0.05°C. about the set temperature. This precise temperature control used inconjunction with reference compensation virtually removed allenvironmental artifacts from the calculated signal. Unfiltered TOFtraces had a typical noise value of less than 1.0 nanosecond.

To reliably monitor formalin diffusion with our ultrasound equipment, acommercial dip-and-dunk tissue processor (FIG. 8A, Lynx II, ElectronMicroscopy Sciences) was retrofit with custom developed acoustichardware. A mechanical head was designed using Solidworks® software tofit around and seal a standard reagent canister. Once sealed, anexternal vacuum system would initiate to degas the bulk reagent as wellas the contents of the cassette, including the tissue. A cassette holderwas designed for use with a standard sized histological cassette (FIG.8D, CellSafe 5, CellPath) that securely held the tissue to prevent thesample from slipping during the experiment. The cassette holder wasattached to a vertical translation arm that would slide the cassetteholder in one direction. The mechanical head was designed with two metalbrackets on either side of the tissue cassette (FIG. 8B). One brackethoused 5 transmitting transducers. The other bracket housed 5 receivingtransducers that were spatially aligned with their respectivetransmitting transducers. The receiving bracket also housed a pair oftransducers that were oriented orthogonal to the propagation axis of theother transducers (FIG. 8C). This set of transducers served as areference channel. Additionally, at the end of each 2D acquisition, thecassette was raised up and a second reference acquisition was acquired.These reference TOF values were used to compensate forenvironmentally-induced fluctuations in the formalin.

After each acquisition the orthogonal reference sensors would calculatea TOF value that was used to detect spatiotemporal variations in thefluid that had a profound effect on sound velocity. The cassette wasthen translated ≈1 mm vertically and the TOF value was calculated at thenew position for all transducer pairs. The process was repeated to coverthe entire cassette. The 2nd and 4th transducer pairs (FIG. 8C, bottomrow) were turned off when scanning tissue in a standard sized cassette.This enabled the 1st, 3rd, and 5th transducer pairs (FIG. 8C, top row)to each scan one of the center three subdivisions of the cassette. Twotissue cores were then placed in each column, one on the top and one onthe bottom. This setup enables TOF traces from 6 samples (2 rows×3columns) to simultaneously be obtained and significantly decreased runto run variation and increased throughput. The process was repeated overthe course of the experiment for several hours until the tissue reachedosmotic equilibrium and no more diffusion occurred producing atemporally flat TOF signal. One complete acquisition at all spatiallocations takes about 90 seconds, although near real-time dataacquisition is possible at one location (Δt<1 second).

D. TOF Data Analysis

As previously stated the TOF in fluid is highly dependent on thermalfluctuations within the bulk media. To compensate for these deviationsthe reference TOF value was subtracted from the TOF value obtain throughthe tissue and formalin to isolate the phase retardation from the tissuewithout spurious signals. When using the orthogonal reference sensors, ascaling factor was used to adjust for the slight geometrical differencein spacing between these two sensors and the pairs of scanning sensors.The reference compensated TOF traces from tissue, from now on referredto simply as the TOF, were empirically determined to be highlycorrelated with a single exponential curve of the form of Equation 1:

TOF(x,y,t)=C(x,y)+Ae ^(−t/τ(x,y))

where C is a constant offset in ns, A is the amplitude of the decay inns, τ is the decay constant in hours, and the spatial dependence (x, y)is explicitly stated. The signal amplitude represents the magnitude ofthe diffusion and is thus directly proportional the amount of fluidexchange. The decay constant represents the time for the amplitude todecrease by 63% and is inversely proportional to the rate of formalindiffusion into the tissue (i.e. large decay constant=slowly diffusing).To calculate these metrics, TOF diffusion trends were fitted to theabove equation using non-linear regression. Additionally, because of thescanning capabilities of our system we can calculate and track whichspatial volume of the tissue diffuses the slowest. This decay constantrepresents the limiting factor for when the tissue is thoroughlydiffused and is referred to as the slowest decay constant (τ_(slowest)).For example, all TOF signals from the sample indicated with dashed greenlines in FIG. 9B are graphed in FIG. 3. One can see a large variabilityin both the decay rate and amplitude of the spatially-varying signals.To mitigate spurious white noise in the reference-compensated TOF data,a 3^(rd) order Butterworth filter was utilized. This filter preservedthe low-frequency components of the exponential diffusion decay whileremoving high-frequency noise. Referenced to a single exponential decay,unfiltered TOF data had a typical root-mean-square-error of about 1nanosecond, which was reduced to 200-300 picoseconds after filtering.

E. Results

E1. Histologically Guardbanding Diffusion Times

It was previously shown that a cold+warm fixation protocol with NBF wasbeneficial to preservation of histomorphology as well as proteins withactivation states. Chafin et al., Rapid two-temperature formalinfixation, PloS One 8, e54138 (2013). This deviation from roomtemperature fixation was originally termed the 2+2 protocol due tosuccessive immersion of tissues for 2 hours into 4° C. and 45° C. NBFwith tissues up to 4 mm in thickness. The scientific principal behindthis rapid protocol is the ability to diffuse enough formaldehyde intoall of the tissue during the diffusion (cold step) before initiatingcrosslinking (warm step). In the initial report, this was accomplishedon a purely empirical basis by altering diffusion times and temperaturesand examining the quality of histomorphology and immunohistochemistrystaining. In order to fine tune the protocol, we have developed a methodto monitor the diffusion of cold NBF in real time with ultrasounddiffusion based detection.

Diffusion of NBF into tissue sections is controlled mainly byconcentration of formaldehyde and time. Since NBF is a fixedconcentration of formaldehyde (3.7% W/V), we reasoned there must be aminimum exposure time to cold NBF that produces excellenthistomorphology. A simple time course experiment was performed (FIG. 10)using 6 mm cores of human tonsil tissues submerged into 4° C. NBFfollowed by 1 hour in 45° C. NBF. We have previously determined that ashorter warm step can be standardized if sufficient formaldehyde ispresent in the sample. After multiple experiments were analyzed, aminimum of 3 hours of cold NBF (3+1) is required to produce goodhistomorphology. Tissue morphology was slightly better after 5 hours(5+1) but no additional benefit was seen at longer times with this onetissue type. Multiple cores were then examined using both 3+1 and 5+1protocols as verification (FIG. 10).

E2. Diffusing Monitoring Validation and Tonsil Characterization

Having characterized the needed diffusion times for 6 mm tonsils, wenext sought to correlate those findings with the needed amount ofcrosslinking agent throughout the specimen as detected with ourTOF-based diffusion monitoring technology. A total of 39 six mm humantonsil samples were imaged using TOF in cold (7±0.5° C.) 10% NBF. Of the39 samples, 15 were monitored for 3 hours and the remaining 24 sampleswere scanned for 5 hours. The slowest spatial decay constants for eachsample are plotted in FIG. 11. Samples monitored for 3 and 5 hours hadaverage diffusion decay constants of 4 hours and 16 minutes and 4 hoursand 38 minutes, respectively. The difference in diffusion times of 22minutes is relatively small (<10%) and statistically insignificant(p=0.45), indicating that the two datasets come from the samedistribution and are measuring the same physical phenomena. Thisestablishes that our detection mechanism is accurate down to at leastthree hours of scan time. On average for the cumulative dataset, theaverage decay time of the slowest diffusing region of each tissue was4.5 hours.

E3. Measured Diffusion Rates of Different Tissues

The properties of several hundred samples of a variety of other tissuesamples were then recorded with our TOF tissue monitoring device. Rawdata plotting the decay constants at the slowest diffusing part of eachsample are displayed in FIG. 12. A total of 236 samples were monitoredrepresenting 33 distinct organs and types of biological tissue. Onlysamples 5-7 mm thick were considered in this study. The range of tissuethicknesses was necessary because tissue is inherently gelatinous innature and thus difficult to cut to a precise thickness. Reliable trendswere recorded from all sampled tissue types indicating our diffusionmonitoring technology is compatible with an assortment of differenttissue types. There is an extreme amount of variability in rate offormalin diffusion, even within individual tissue types, with severaltissues' demonstrating maximum to minimum differences of multiple hours.This was to be expected because tissue is known to be highlyheterogeneous. Additionally, the average decay constant from eachrespective group varies significantly, indicating drastically differentdiffusion rates across different organs and types of tissues.

The average decay constant from each respective organ type is displayedin FIG. 6A sorted from lowest to highest decay constant. Displayed inthis fashion, more quickly diffusing tissues register to the left (i.e.smaller decay constants) and slowly diffusing tissues register to theright (i.e. larger decay constants). Importantly, we see that several ofthe tissue types ASCO/CAP has recognized as needing extra time informalin (e.g. breast, brain, fat) are located on the far right of thegraph amongst the slowest quarter of tissues. Therefore, our TOFdiffusion monitoring system has confirmed the ASCO/CAP guidelines ofslowing diffusing tissues.

E4. Required Cold Diffusion Time for Ideal Staining

Previously in Section E1 we detailed that 6 mm human tonsil samplesrequire at most 5 hours of cold diffusion time in 10% NBF to haveoptimal of 4.5 hours. We therefore generate an empirically determinedtime needed in cold formalin as Equation 2:

$\frac{t_{done}}{\tau_{slowest}} = \left. \frac{5{hour}}{4.5{hour}}\Rightarrow{t_{done} \approx \tau_{slowest}} \right.$

where t_(done) is the needed diffusion time in cold formalin andτ_(slowest) represents the decay constant of the slowest diffusingvolume of the tissue. From this general equation we observe and concludethat samples having diffused to approximately one decay constant willhave sufficient crosslinking agent throughout to stain properly. Thisgeneral ground rule would thus apply to all different types of tissuesbecause the time needed to sufficiently perfuse a tissue will scale withthe rate of diffusion. In other words, slowly diffusing tissues willautomatically need longer diffusion times whereas faster diffusingtissues will require less time in formalin.

The decay constants from the cumulative tissue dataset were analyzed todetermine how long samples needed to be subjected to cold diffusion in10% NBF to produce excellent downstream biomarker preservation. Theprobability density function (PDF) is plotted in FIG. 6B. The majorityof samples have a slowest decay constant of about 2 hours. A significantportion display values up to roughly 4 hours and further outliers can beseen with even longer decay constants.

The cumulative density function (CDF) is plotted in FIG. 6C, whichrepresents the integral of FIG. 6B. From the CDF 52.5% of samples have aslowest decay constant of less than 2 hours. Similarly, 84.8% of sampleshave decay constants less than 4 hours and 92.8% are less than 6 hours.From the tonsil-based experiments and Eq. 2, the data suggests thattissue samples need to be in cold formalin for an amount of timeapproximately equal to their slowest decay constant. Therefore, FIG. 6Cwould predict that nearly 93% of samples' cold soaked in 10% NBF for 6hours would stain pristinely with downstream assays. Our estimate ofneeding one decay constant of cold diffusion time is based on perfectstaining throughout that sample. This threshold is substantially morestringent that what is considered a diagnosable slide in current medicalpractice. Additionally, our ruleset was determined based on the amountof formalin in the slowest diffusing part of the tissue, meaning atthreshold the majority of the tissue already has more than the criticalamount of formalin needed for ideal staining. It therefore stands toreason that the remaining 7% of samples that are not at threshold after6 hours of cold diffusion will still stain adequately enough for aclinician to make a diagnosis.

We therefore state that,

t _(done)(all tissue types)≤6 hours,  (Equation 3)

for samples up to 7 mm thick cold soaked in 10% NBF. It is important tonote that this t_(done) was calculated exclusively from samples 5-7 mmthick. However, because diffusion time scales with the square of tissuethickness, samples smaller than 5 mm will diffuse significantly fasterthan larger tissues. Because additional time in cold formalin has nodetrimental effects on cancer biomarker or tissue morphological status,the presented t_(done) will well preserve cancer biomarkers andmorphology in all samples up to 7 mm thick. Many factors will affect therate at which the crosslinking agent formalin will perfused tissueincluding sample composition, thickness, temperature, orientation incassette, and preanalytical tissue handling to name a few. The presentedtime needed in cold formalin is especially powerful because all of thesefactors are taken into account. Additionally, the large number ofsamples monitored in our study and the scanning capability of our systemensure 6 hours in cold formalin will ideally preserve tissue despitevariability from different types of tissue (intersample variation) aswell as contributions from tissue heterogeneity (intrasample variation).Moreover, because the slowest diffusing tissues (fat, brain, etc) wereincluded in this study, we are confident other types of tissues notexclusively monitored will not be the limiting factor of a potentialprotocol. Thus, all samples up to 7 mm thick will stain properly after 6hours in cold formalin.

E5. Staining Results for 6+1 Universal Protocol

To verify that a static 6+1 fixation protocol can be used for generalhistology workflow, histomorphology of several tissue types wasexamined. Tissues were chosen based on availability and relative TOFdiffusion rates to encompass slow, medium, and fast categories (See FIG.6A). Several 6 mm cores of human skin+fat, tonsil, colon and kidney werefixed with a static 6+1 and as comparison 24 hr room temperatureprotocol and analyzed for quality of histomorphology (FIG. 13). Allsamples fixed with the 6+1 protocol had identical histomorphologycompared to the same samples fixed with gold standard methods. Thissmall pilot study verifies that an analytical technique, based on timeof flight principles, can be used to monitor relative diffusion of NBFin real time and optimize results.

F. Discussion

The present state-of-the-art in tissue processing and preservation is aone size fits all workflow that is profoundly unprepared for specimenhandling in a personalized medicine workflow. This methodology cannottake into account sample specific variations in the concentration offormalin throughout the tissue, which is governed by the variable rateof formalin uptake by individual tissues. This study detailed areal-time diffusion monitoring system based on subnanosecond acoustictime-of-flight differences generated by the exchange of NBF andinterstitial fluid during active reagent diffusion. Diffusion trendswere empirically correlated with needed diffusion time, based onmorphological staining results, in order to predict the needed amount ofcrosslinking agent necessary to guarantee ideal staining. Diffusionmonitoring was then employed in a broad tissue collection studycomprising over 200 individual samples and 33 different human organs.Results were coalesced and indicate that all tissue types, up to 7 mmthick, will produce diagnosable staining throughout the sample after 6hours in cold 10% NBF and that the vast majority of samples (=93%) withstain ideally after this time in cold formalin. The observation that 6hours of cold diffusion time would produce quality staining was thenconfirmed by staining several types of tissues processed with the 6+1protocol. Overall, this research indicates a simple 6+1 protocol canstandardize and optimize tissue processing across all types of tissues,up to 7 mm thick, and help ensure biomarker and morphological structurepreservation with a rapid protocol compared to standard room temperaturefixation.

1. A system comprising: an acoustic monitoring device that detectsacoustic waves that have traveled through a tissue sample; and acomputing device communicatively coupled to the acoustic monitoringdevice, the computing device is configured to evaluate a speed of theacoustic waves based on a time of flight and including instructions,when executed, for causing the processing system to perform operationscomprising: monitoring a diffusion of a fluid through a tissue sampleusing the acoustic monitoring device; and recording a time when thefluid has diffused through at least a portion of the tissue sample. 2.The system of claim 1, wherein the operations further comprise plottinga decay curve based on the monitoring of the diffusion of the fluidthrough the tissue sample.
 3. The system of claim 2, wherein the decaycurve is used to estimate a decay constant for the tissue sample.
 4. Thesystem of claim 3, wherein the operations further comprise storing thedecay constant in a record associated with a tissue type of the tissuesample.
 5. The system of claim 4, wherein subsequent tissue samples ofthe same tissue type are processed based on the decay constant.
 6. Thesystem claim 1, wherein an upper limit of the time is set to 6 hours. 7.The system of claim 1, wherein the fluid is a tissue fixative.
 8. Thesystem of claim 7, wherein the tissue fixative comprises analdehyde-based tissue fixative.
 9. The system of claim 8, wherein thealdehyde-based tissue fixative comprises formaldehyde.
 10. The system ofclaim 1, wherein the fluid is at a temperature ranging from betweenabout 0° C. to 15° C.
 11. The system of claim 1, wherein the fluid is ata temperature ranging from between about 0° C. to 10° C.
 12. The systemof claim 1, wherein the fluid is at a temperature ranging from betweenabout 5° C. to 15° C.
 13. The system of claim 1, wherein the acousticmonitoring device detects ultrasonic waves that have traveled throughthe tissue sample.
 14. The system of claim 13, wherein the ultrasonicwaves have an intensity of less than 1 W/cm².
 15. The system of claim 1,wherein the tissue sample is less than 7 mm thick.
 16. A non-transitorycomputer-readable medium to store computer-readable code that isexecuted by a processor to perform operations comprising: contacting atissue sample with a fluid for a time period; and comparing the timeperiod with a threshold time period to determine an optimal time toremove the tissue sample from the fluid.
 17. The computer-readablemedium of claim 16, wherein the fluid comprises a fixative.
 18. Thecomputer-readable medium of claim 17, wherein the operations furthercomprise performing a fixation process on the tissue sample after thefixative has displaced a predetermined target percentage volume ofinterstitial fluid from the tissue sample.
 19. The computer-readablemedium of claim 18, wherein performing the fixation process includesheating the tissue sample to promote cross-linking of the tissue sample.20. The computer-readable medium of claim 16, wherein the fluid is at atemperature ranging from between about 0° C. to 15° C.